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Description
The Music AI Sandbox comprises a collection of innovative tools aimed at igniting creativity and assisting artists in the exploration of distinctive musical concepts. Created through collaboration with musicians, these practical instruments are designed to facilitate new avenues for music creation. Among its features, users can generate novel instrumental ideas by articulating the desired sound, and they can delve into various genres, moods, vocal styles, and instruments. Additionally, it provides the ability to create musical continuations based on either uploaded or newly generated audio clips, serving as a valuable resource for overcoming writer’s block. Users can also modify the mood, genre, or style of an entire audio clip or make precise adjustments to particular sections, utilizing user-friendly controls for both subtle and dramatic changes. With this suite of tools, musicians can discover new sonic landscapes, experiment across a range of genres, enrich their musical collections, and potentially craft entirely new styles that push the boundaries of their artistry. Ultimately, the Music AI Sandbox invites artists to rethink their creative processes and explore the limitless possibilities of sound.
Description
We are excited to unveil Jukebox, a cutting-edge neural network designed to create music, including basic vocalization, in diverse genres and artistic expressions as raw audio. Alongside the release of the model weights and code, we are offering a tool to help users explore the music samples generated by Jukebox. By inputting genre, artist, and lyrics, users can receive entirely new music pieces crafted from the ground up. Jukebox is capable of producing a vast array of musical and vocal styles, and it can also generalize to lyrics that were not part of the training dataset. The lyrics included here have been collaboratively crafted by researchers at OpenAI and a language model. When provided with lyrics from its training set, Jukebox generates songs that diverge significantly from the originals, showcasing its creative capabilities. Users can input a 12-second audio clip for Jukebox to build upon, with the final output reflecting a desired style. Our focus on music stems from a desire to advance the potential of generative models further. Utilizing a quantization-based approach called VQ-VAE, Jukebox’s autoencoder model effectively compresses audio into a discrete latent space, enabling innovative sound generation. As we continue to refine these technologies, we look forward to the creative possibilities that lie ahead.
API Access
Has API
API Access
Has API
Integrations
Google Stitch
Lyria
Lyria 2
Lyria 3
Lyria 3 Clip
Lyria 3 Pro
Microsoft Azure
OpenAI
WeatherNext
YouTube
Integrations
Google Stitch
Lyria
Lyria 2
Lyria 3
Lyria 3 Clip
Lyria 3 Pro
Microsoft Azure
OpenAI
WeatherNext
YouTube
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Google DeepMind
Founded
2010
Country
United Kingdom
Website
deepmind.google/discover/blog/music-ai-sandbox-now-with-new-features-and-broader-access/
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com/blog/jukebox/